Title :
Asymptotic stabilization control of Nadolschi hyperchaotic systems with unknown parameters
Author :
Miao, Lihua ; Kuang, Baoping ; Li, Yusheng ; Wang, Xuehong
Author_Institution :
Fundamental Teaching Dept. of Math. & Phys., Shenyang Med. Coll., Shenyang, China
Abstract :
This paper considers the asymptotic stabilization problem of a class of novel hyperchaotic systems with unknown parameters. Based on the adaptive theory, a novel adaptive feedback controller is designed to stabilize the considered Naodolschi hyperchaotic system to the zero equilibrium asymptotically. The asymptotic stability of the closed-loop system is proved based on Lyapunov stability theory. Simulation results demonstrate effectiveness of the proposed hyperchaotic suppression method.
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; feedback; nonlinear control systems; Lyapunov stability theory; Nadolschi hyperchaotic system; adaptive feedback controller; asymptotic stabilization control; closed-loop system; hyperchaotic suppression method; Adaptive control; Asymptotic stability; Chaos; Lyapunov methods; Physics; State feedback;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008403
